Tobias Ziegler

Orcid: 0000-0002-1602-4512

Affiliations:
  • TU Darmstadt, Germany
  • Brown University, Providence, RI, USA (former)
  • Cooperative State University of Baden-Wuerttemberg, Mannheim, Germany (former)


According to our database1, Tobias Ziegler authored at least 25 papers between 2015 and 2023.

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Bibliography

2023
Towards Scalable OLTP Over Fast Networks.
PhD thesis, 2023

Databases on Modern Networks: A Decade of Research that now comes into Practice.
Proc. VLDB Endow., 2023

Virtual-Memory Assisted Buffer Management.
Proc. ACM Manag. Data, 2023

Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA.
Proc. ACM Manag. Data, 2023

Towards Merkle Trees for High-Performance Data Systems.
Proceedings of the 1st Workshop on Verifiable Database Systems, 2023

Is Scalable OLTP in the Cloud a Solved Problem?
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022
DFI: The Data Flow Interface for High-Speed Networks.
SIGMOD Rec., 2022

Tenant Placement in Over-subscribed Database-as-a-Service Clusters.
Proc. VLDB Endow., 2022

P4DB - The Case for In-Network OLTP (Extended Technical Report).
CoRR, 2022

P4DB - The Case for In-Network OLTP.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Benchmarking the Second Generation of Intel SGX Hardware.
Proceedings of the International Conference on Management of Data, 2022

EFA: A Viable Alternative to RDMA over InfiniBand for DBMSs?
Proceedings of the International Conference on Management of Data, 2022

A DBMS-centric Evaluation of BlueField DPUs on Fast Networks.
Proceedings of the International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2022

2020
RDMA Communciation Patterns.
Datenbank-Spektrum, 2020

DB4ML - An In-Memory Database Kernel with Machine Learning Support.
Proceedings of the 2020 International Conference on Management of Data, 2020

DBMS Fitting: Why should we learn what we already know?
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
ProgressiveDB - Progressive Data Analytics as a Middleware.
Proc. VLDB Endow., 2019

Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks.
Proceedings of the 2019 International Conference on Management of Data, 2019

DPI: The Data Processing Interface for Modern Networks.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

Skew-resilient Query Processing for Fast Networks.
Proceedings of the Datenbanksysteme für Business, 2019

High-Performance In-Network Data Processing.
Proceedings of the 10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2019

2018
Boosting scalable data analytics with modern programmable networks.
Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018

2017
Rethinking Distributed Query Execution on High-Speed Networks.
IEEE Data Eng. Bull., 2017

2015
Spotgres - parallel data analytics on Spot Instances.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015


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